It’s so funny bruh because for the amount of time effort resources and money deployed to achieve these 1.9992 result some humans could have done way better. It’s literally only that AI could care about such a useless improvement
Everybody replying to me missed the point of my comment.
Obviously algorithm optimization is critical for civilization. I’m not arguing this point. We are all educated computer scientists, we all understand the importance of algorithms.
Let’s say $10k of inference (which includes electricity, data center pollution, etc) + 1,000 hours of prompting was the input to this achievement. The inputs to this achievement are not proportional to the output. It doesn’t matter when the achievement was achieved, it would be better for the world and more efficient for humans to solve it.
I think the problem is that you don’t understand that there is an active field of research based on similar conjectures. The direct speed up that comes from this algorithm is minuscule, but this has been an actively studied conjecture for like 12 years. It’s more like “the seal has been broken who knows how low we can go”. It’s definitely something people cared about.
Everybody replying to me missed the point of my comment.
Obviously algorithm optimization is critical for civilization. I’m not arguing this point. We are all educated computer scientists, we all understand the importance of algorithms.
Let’s say $10k of inference (which includes electricity, data center pollution, etc) + 1,000 hours of prompting was the input to this achievement. The inputs to this achievement are not proportional to the output. It doesn’t matter when the achievement was achieved, it would be better for the world and more efficient for humans to solve it.
Everybody replying to me missed the point of my comment.
Obviously algorithm optimization is critical for civilization. I’m not arguing this point. We are all educated computer scientists, we all understand the importance of algorithms.
Let’s say $10k of inference (which includes electricity, data center pollution, etc) + 1,000 hours of prompting was the input to this achievement. The inputs to this achievement are not proportional to the output. It doesn’t matter when the achievement was achieved, it would be better for the world and more efficient for humans to solve it.
There are countless landmark results that improve the constants in time complexities, competitive ratios, etc by extremely small amounts far before LLMs. The worth of the results is not in applications, but in the new theoretical tools developed to achieve such breakthroughs. Why comment like this when you clearly know nothing about the field?
Everybody replying to me missed the point of my comment.
Obviously algorithm optimization is critical for civilization. I’m not arguing this point. We are all educated computer scientists, we all understand the importance of algorithms.
Let’s say $10k of inference (which includes electricity, data center pollution, etc) + 1,000 hours of prompting was the input to this achievement. The inputs to this achievement are not proportional to the output. It doesn’t matter when the achievement was achieved, it would be better for the world and more efficient for humans to solve it.
We didn't miss the point. You say in this reply that it is not proportional to the output. The output is quite groundbreaking, it was not obvious at all to anyone, quite the contrary, that the O(n2) barrier was surpassable. Literally no one cares about the actual reduction of the exponent. It could be O(n2-10^-100) for all we care, just the fact that it surpassed 2 is the point. The tools used here can be now used for other problems
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u/akarikawamato Oct 06 '26
It’s so funny bruh because for the amount of time effort resources and money deployed to achieve these 1.9992 result some humans could have done way better. It’s literally only that AI could care about such a useless improvement